In this paper, we systematically review recent advances in surface inspection using
computer vision and image processing techniques, particularly those based on texture …

Nowadays, image analysis is becoming more important because of its ability to perform fast
and non-invasive low-cost analysis on products and processes. Image analysis is a wide …

This paper presents a novel image feature representation method, namely color difference
histograms (CDH), for image retrieval. This method is entirely different from the existing …

Virtualization is being widely adopted in today's computing systems. Its unique security
advantages in isolating and introspecting commodity OSes as virtual machines (VMs) have …

This paper presents a simple yet efficient image retrieval approach by proposing a new
image feature detector and descriptor, namely the micro-structure descriptor (MSD). The …

In recent years, software-based face presentation attack detection (PAD) methods have
seen a great progress. However, most existing schemes are not able to generalize well in …

This paper reviews the techniques available for image feature extraction and their
applications in the food industry up to now according to the four major kinds of image …

A new image retrieval technique using local neighborhood difference pattern (LNDP) has
been proposed for local features. The conventional local binary pattern (LBP) transforms …

Texture is an important image feature and has been applied greatly in the food industry for
quality evaluation and inspection. Recent applications of texture-analysis techniques in the …

This paper put forward a new method of co-occurrence matrix to describe image features.
This method can express the spatial correlation of textons. During the course of feature …